Senior Staff Software Engineer - JAVA (Remote US)

Apply for this position Please mention DailyRemote when applying
Posted 4 days ago United States Salary undisclosed
Before you apply - make sure the job is legit.

Attempting to apply for jobs might take you off this site to a different website not owned by us. Any consequence as a result for attempting to apply for jobs is strictly at your own risk and we assume no liability.

Job Description

Job Description

If you dream of a job working in a field where all the hard problems are solved and you get to re-use previous research to get your job done, you need not apply. If, however, you are someone who wants to tackle problems that truly are on the cutting edge, then we encourage you to keep reading.

Data Science is an emerging field within cyber security. Mandiant, given its deep expertise and comprehensive view on the advanced threat landscape, is uniquely positioned to enable data scientists to have major impact within our industry, company, and across our customer base. Detecting security breaches using machine learning and data analytics is an unsolved problem (this is not handwriting recognition folks) and has huge potential.

If you are someone who wants to be on the cutting edge of a high profile industry, who wants to make an impact by pushing both fields of data science and cyber security forward, you may be the perfect candidate to help us on our mission.

What You Will Do:

Design, develop, and manage highly scalable, reliable and fault tolerant distributed data systems to ingest and process data at massive scale

Identify data sources both internally and externally that we can use to find evil

Architect and design software solutions for long-term storage and retrieval

Identify and implement data exploration technologies. Create dashboards and implement analytical tools for exploration

Work with data scientists to productize ML models and assist product teams with ML model releases into end products

Collect requirements, design, and build backend components and tools to run ML models, assess ML model efficacy, manage large scale datasets, and generate features for ML models

Contribute to the evolution of coding and design practices within the organization

Review code base commits and contribute to the growth of team members